
import os
import re
import shutil
import sys
import tempfile
import unittest

import black


__lowerCamelCase				=			os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
__lowerCamelCase				=			"""    \"\"\"\n    Output class for the scheduler\'s step function output.\n\n    Args:\n        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the\n            denoising loop.\n        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            The predicted denoised sample (x_{0}) based on the model output from the current timestep.\n            `pred_original_sample` can be used to preview progress or for guidance.\n    \"\"\"\n\n    prev_sample: torch.FloatTensor\n    pred_original_sample: Optional[torch.FloatTensor] = None\n"""






class     UpperCAmelCase						(		unittest.TestCase					):



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[str]					)						->      str:


          '''simple docstring'''


          snake_case			:  Optional[int]     							= tempfile.mkdtemp()
          os.makedirs(os.path.join(self.diffusers_dir       ,		"schedulers/"					)					)
          snake_case			:  str     							= self.diffusers_dir
          shutil.copy(
              os.path.join(snake_case__       ,		"src/diffusers/schedulers/scheduling_ddpm.py"					)       ,		os.path.join(self.diffusers_dir       ,		"schedulers/scheduling_ddpm.py"					)       ,		)



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[str]					)						->      List[str]:


          '''simple docstring'''


          snake_case			:  Union[str, Any]     							= "src/diffusers"
          shutil.rmtree(self.diffusers_dir					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]       ,		snake_case__						:   List[Any]       ,		snake_case__						:   str       ,		snake_case__						:   List[Any]       ,		snake_case__						:   Union[str, Any]=None					)						->      Dict:


          '''simple docstring'''


          snake_case			:  Optional[int]     							= comment + f"""\nclass {class_name}(nn.Module):\n""" + class_code
          if overwrite_result is not None:
                 snake_case			:  Dict     							= comment + f"""\nclass {class_name}(nn.Module):\n""" + overwrite_result
          snake_case			:  Optional[Any]     							= black.Mode(target_versions={black.TargetVersion.PYaa}       ,		line_length=1_19					)
          snake_case			:  Tuple     							= black.format_str(snake_case__       ,		mode=snake_case__					)
          snake_case			:  Tuple     							= os.path.join(self.diffusers_dir       ,		"new_code.py"					)
          with open(snake_case__       ,		"w"       ,		newline="\n"					) as f:
                 f.write(snake_case__					)
          if overwrite_result is None:
                 self.assertTrue(len(check_copies.is_copy_consistent(snake_case__					)					) == 0					)
          else:
                 check_copies.is_copy_consistent(f.name       ,		overwrite=snake_case__					)
                 with open(snake_case__       ,		"r"					) as f:
                        self.assertTrue(f.read()       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Union[str, Any]					)						->      str:


          '''simple docstring'''


          snake_case			:  Dict     							= check_copies.find_code_in_diffusers("schedulers.scheduling_ddpm.DDPMSchedulerOutput"					)
          self.assertEqual(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   str					)						->      List[str]:


          '''simple docstring'''


          self.check_copy_consistency(
              "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"       ,		"DDPMSchedulerOutput"       ,		REFERENCE_CODE + "\n"       ,		)

          # With no empty line at the end
          self.check_copy_consistency(
              "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"       ,		"DDPMSchedulerOutput"       ,		snake_case__       ,		)

          # Copy consistency with rename
          self.check_copy_consistency(
              "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"       ,		"TestSchedulerOutput"       ,		re.sub("DDPM"       ,		"Test"       ,		snake_case__					)       ,		)

          # Copy consistency with a really long name
          snake_case			:  str     							= "TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason"
          self.check_copy_consistency(
              f"""# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}"""       ,		f"""{long_class_name}SchedulerOutput"""       ,		re.sub("Bert"       ,		snake_case__       ,		snake_case__					)       ,		)

          # Copy consistency with overwrite
          self.check_copy_consistency(
              "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"       ,		"TestSchedulerOutput"       ,		snake_case__       ,		overwrite_result=re.sub("DDPM"       ,		"Test"       ,		snake_case__					)       ,		)









"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


lowercase_							=							{
    'configuration_layoutlmv2': ['LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LayoutLMv2Config'],
    'processing_layoutlmv2': ['LayoutLMv2Processor'],
    'tokenization_layoutlmv2': ['LayoutLMv2Tokenizer'],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							=							['LayoutLMv2TokenizerFast']

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							=							['LayoutLMv2FeatureExtractor']
		lowercase_							=							['LayoutLMv2ImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							=							[
		    'LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'LayoutLMv2ForQuestionAnswering',
		    'LayoutLMv2ForSequenceClassification',
		    'LayoutLMv2ForTokenClassification',
		    'LayoutLMv2Layer',
		    'LayoutLMv2Model',
		    'LayoutLMv2PreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
		from .processing_layoutlmva import LayoutLMvaProcessor
		from .tokenization_layoutlmva import LayoutLMvaTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_layoutlmva import (
				    LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    LayoutLMvaForQuestionAnswering,
				    LayoutLMvaForSequenceClassification,
				    LayoutLMvaForTokenClassification,
				    LayoutLMvaLayer,
				    LayoutLMvaModel,
				    LayoutLMvaPreTrainedModel,
				)
else:
		import sys

		lowercase_							=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)